Introduces incentive-aware federated averaging with NE-seeking dataset size updates and establishes performance guarantees plus asymptotic convergence for strategic participation in convex, nonconvex, and monotone settings.
Incentive mechanism design for unbiased federated learning with randomized client participation
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Incentive-Aware Federated Averaging with Performance Guarantees under Strategic Participation
Introduces incentive-aware federated averaging with NE-seeking dataset size updates and establishes performance guarantees plus asymptotic convergence for strategic participation in convex, nonconvex, and monotone settings.